Your most valuable data – years of transactions, customers, products and operations – is locked inside legacy systems, in formats AI and analytics tools can’t use. Cella frees it into one clean, governed store as you switch those systems off, so it’s ready for AI.
Data readiness for ai, from legacy systems Decades of data. Ready for AI.
Trusted by enterprise data and IT teams across Europe, the Americas and Asia.
Why legacy data isn't ai-ready
AI is only as good as the data behind it
Every organisation wants to put AI and analytics to work, and the richest source of insight is the data it already owns – decades of history about its customers, products and operations. But that data is usually the hardest to use. Trapped in legacy systems, it is not yet ready for AI, for three reasons.
Trapped in legacy formats
Historical records locked inside proprietary or obsolete systems that modern AI and analytics tools simply can’t read.
Inconsistent and ungoverned
Different structures, duplicate records and no single source of truth make legacy data unreliable to analyse or train on.
Siloed and out of reach
Data scattered across dozens of ageing applications, so no one can see – or use – the full picture.
Clean in, value out
AI needs data that's clean, governed and accessible
Data readiness for AI is not about the model – it’s about the data underneath it. Before historical data can feed a dashboard or ground a model, it has to meet three tests.
Quality
Consistent, de-duplicated, accurate records a model or report can actually rely on.
Governance
Clear lineage, retention and access controls, so you can prove where data came from and who is allowed to use it.
Accessibility
Held in one open, queryable store – not locked inside a system only a specialist can reach.
How Cella fits
Turn decommissioned data into AI-ready data
Cella extracts the data out of your legacy systems as you retire them and lands it in one secure, structured and governed store. The same project that cuts your legacy costs produces a clean, accessible dataset – ready for analytics and AI.
- Extract everything. Pull complete records out of every legacy system into one place, with nothing left behind.
- Clean and structure. Normalise formats and remove duplicates, so the data is consistent and analytics-ready.
- Govern by default. Retention rules, audit trails and access controls travel with the data, so it stays compliant as well as usable.
- Make it queryable. Reach the data through search, reporting and standard interfaces, ready to feed analytics and AI tools.
- Ready for what’s next. A clean, governed foundation for AI data readiness, built from the history you already own.
From data to asset
From historical data to strategic asset
Once your legacy data is clean, governed and in one place, it stops being a liability to store and becomes something you can build on.
Analytics and reporting
Run BI and reporting across decades of history without keeping the source systems alive.
AI and machine learning
A clean, governed dataset to train and ground models on – genuine data readiness for AI, not a data-cleanup project you keep deferring.
Ready for AI
Built on SAP HANA, Cella keeps your data aligned with where SAP is heading, so as AI capabilities such as Joule mature and hyperscaler LLMs grow in use, your foundation is ready to take advantage.
The payoff
A clean foundation for AI
Retire the old systems and get an AI-ready dataset in the same move. Clean, structured data with built-in governance, in one accessible store – ready for AI and analytics.
Go further
Take your AI data readiness further
See what it takes to get legacy data AI-ready, and how the Cella platform makes it happen.
Proof
Trusted with enterprise data at scale
50+
enterprise clients
600+
systems decommissioned
40+
system types
Trusted by Fortune 500 companies, major European multinationals and public sector organisations across Europe, the Americas and Asia, and built on 30+ years of legacy data experience. Enterprises across energy, chemicals, pharmaceuticals, manufacturing and government trust Cella to free decades of data from legacy systems and hold it in one secure, governed store.
Any questions?
Get in touch
Data readiness for AI FAQs
If you have a question, please use our short form to send it over. We’re always happy to chat.
Data readiness for AI means having data that is clean, consistent, governed and accessible enough for AI and analytics tools to use. Historical data from legacy systems usually isn’t ready until it has been extracted, structured and governed.
Legacy data is often locked in proprietary formats, inconsistently structured and poorly governed, so AI models and analytics tools can’t reliably use it. It has to be freed, cleaned and governed first, although kept in its original business context for audit purposes.
When Cella retires a legacy system, it extracts the data into one secure, structured and governed store. That same clean dataset is exactly what analytics and AI need – so decommissioning delivers AI data readiness as a by-product.
Yes. Retention rules, audit trails and access controls travel with the data, so it stays compliant and auditable while being available for AI and analytics.
No. Cella gets your data ready – clean, governed and accessible – so you can connect analytics and AI tools, including SAP’s & other vendor’s evolving AI capabilities, whenever you are ready.
Ready to make your legacy data AI-ready?
Talk to our team about freeing the data trapped in your legacy systems, and turning decades of history into a clean, governed asset for AI.